An Intelligent Gear Fault Diagnosis Methodology Using a Complex Wavelet Enhanced Convolutional Neural Network.

Sun, Weifang; Yao, Bin; Zeng, Nianyin; Chen, Binqiang; He, Yuchao; Cao, Xincheng; He, Wangpeng

Sun, Weifang; Yao, Bin; Zeng, Nianyin; Chen, Binqiang; He, Yuchao; Cao, Xincheng; He, Wangpeng.

Afiliación

Sun W; School of Aerospace Engineering, Xiamen University, Xiamen 361005, China. Vincent_suen@126.com.
Yao B; School of Aerospace Engineering, Xiamen University, Xiamen 361005, China. yaobin@xmu.edu.cn.
Zeng N; School of Aerospace Engineering, Xiamen University, Xiamen 361005, China. zny@xmu.edu.cn.
Chen B; School of Aerospace Engineering, Xiamen University, Xiamen 361005, China. cbq@xmu.edu.cn.
He Y; School of Aerospace Engineering, Xiamen University, Xiamen 361005, China. heyuchao1993@126.com.
Cao X; School of Aerospace Engineering, Xiamen University, Xiamen 361005, China. 19920151153746@stu.xmu.edu.cn.
He W; School of Aerospace Science and Technology, Xidian University, Xi'an 710071, China. hewp@xidian.edu.cn.

Materials (Basel) ; 10(7)2017 Jul 12.

Article en En | MEDLINE | ID: mdl-28773148

Palabras clave

convolutional neural network (CNN); dual-tree complex wavelet transform (DTCWT); intelligent fault diagnosis; pattern recognition

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Materials (Basel) Año: 2017 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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